Abstract: Maintenance method and maintenance system for smart gas pipeline network are provided. The method includes: determining a preset frequency; controlling the gas metering device in the target region to obtain gas statistical data at the preset frequency; obtaining historical gas consumption data in the target region; determining target demand information of the target region at a future time point; predicting a target difference amplitude of a gas supply and demand difference at the future time point in the target region; for the target region where the target difference amplitude meets a first preset condition, determining a reason for supply and demand difference through a reason model; determining a gas supply adjustment parameter; generating a gas supply adjustment instruction, and sending the gas supply adjustment instruction to a terminal device and the gas metering device to instruct an instruction execution object to perform an adjustment on gas supply.

Abstract: Embodiments of the present disclosure provide a method and system for environmental monitoring based on an intelligent gas regulatory IOTs, the method comprising: determining a target enterprise user and a corresponding target monitoring point location and a target monitoring parameter based on acquired gas regulatory data; determining a government environmental sampling parameter based on government environmental monitoring information, the target monitoring point location, and the target monitoring parameter, and obtaining surrounding environmental data based on the government environmental sampling parameter; controlling an environmental monitoring device to collect target monitoring data; determining a maintenance parameter based on the target monitoring data and the surrounding environmental data; generating a maintenance instruction based on an device operating state and the maintenance parameter; and adjusting the collection frequency of obtaining the gas regulatory data based on an execution result of

Abstract: Provided are an IoT system and a method for intelligent gas emergency safety management. The IoT system comprises a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, and a gas equipment object platform, wherein the government safety supervision object platform includes a gas company management platform.

Abstract: Method and Internet of Things system for safety inspection based on a smart gas geographic information system (GIS) are provided. The method comprises: determining a gridding result through performing gridding processing on a gas pipeline network; determining a required inspection area and an optional inspection area based on the gridding result; generating a target inspection route based on the required inspection area and the optional inspection area; determining an inspection plan based on the target inspection route; generating an inspection instruction based on the inspection plan; updating a gas pipeline grid graph based on inspection data after inspecting each inspection area; determining at least one failure possibility of the at least one node or the at least one edge through a failure possibility determination model; determining a grid safety score based on the at least one failure possibility, and determining an updated inspection plan based on the grid safety score.

Abstract: Disclosed are an IoT system, a method, and a storage medium for sampling and monitoring a smart gas pipeline. The method is executed by a government safety monitoring and management platform, and includes: obtaining pipeline sensing data; determining a sampling parameter based on the pipeline sensing data; and in response to obtaining at least one piece of sampling data from at least one sampling device, determining a fault detection command based on the sampling data, and sending the fault detection command to a gas maintenance object platform to schedule a manual inspection. The IoT system includes the government safety monitoring and management platform, a government safety monitoring sensing network platform, a government safety monitoring object platform, a gas company sensing network platform, a gas equipment object platform, and the gas maintenance object platform. The method may be executed by reading computer instructions stored in a non-transitory computer-readable storage medium.

Abstract: A determination method and an Internet of Things (IoT) system for gas supply during maintenance of a gas pipeline network are provided. The determination method includes: determining a degree of a maintenance impact based on maintenance data; determining a maintenance time period; determining a supply sequence of the maintenance time period based on a first loss feature; determining a gas supply restoration time period and a second loss feature based on a gas supply restoration duration; determining a supply sequence of the gas supply restoration time period based on the second loss feature; determining a target demand for a maintenance pipeline branch in a target time period based on historical usage data; determining a target loss in the target time period based on a target supply and the target demand; determining a replenishment parameter based on the target loss; and calling backup gas from a gas storage station.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things system for determining a smart gas work order set allocation plan. The method includes: obtaining relevant data of the gas device, and uploading the relevant data to a smart gas management platform; extracting work order features of a work order to be assigned based on the relevant data of the gas device; determining a plurality of cluster sets based on a cluster distance between the work order features; determining at least one linked work order set based on the plurality of cluster sets; extracting set features of the linked work order set; determining an assignment scheme of the linked work order set based on the set features; determining an optimal scheme, determining a linkage processing scheme based on the optimal scheme; sending the assignment scheme and the linkage processing scheme to a smart gas service platform.

Abstract: Disclosed is an IoT system for gas demand management based on a call center of smart gas, comprising a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensing network platform, and a smart gas object platform. The smart gas user platform is configured to send call data of a gas user to the smart gas service platform. The smart gas service platform is configured to send the call data of the gas user to the smart gas management platform. The smart gas management platform is configured to classify the call data of the gas user; determine demand matching degrees of the gas user for different demands; predict demand information of different types of users based on the demand matching degrees, respectively; and determine and push a gas operation push feature based on the demand information of the different types of users.

Abstract: The present disclosure provides an Industrial Internet of Things for automatic executing product manufacturing based on a task, comprising a task module, a process processing module, and an analysis module. The task module is configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task, the process processing module is configured to determine manufacturing process information based on the first instruction, decompose the manufacturing process information and generate sub-process manufacturing data, and the analysis module is configured to compose a set of manufacturing data based on the sub-process manufacturing data and the process execution time, perform a manufacturing feasibility analysis based on the set of manufacturing data, in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, perform the product manufacturing corresponding to sub-process based on the sub-process manufacturing data.

Abstract: Methods and Internet of Things (IoT) systems for information storage management based on a smart gas data center are provided. The method includes: when a smart gas platform stores data in the smart gas data center, determining an extraction feature and a value feature of sub-target data of target data; and determining a storage level of the sub-target data based on the extraction feature and the value feature of the sub-target data and storing the sub-target data in the smart gas data center according to the storage level; and when the smart gas platform reads the data from the smart gas data center: determining transmission execution data based on a transmission load and an importance score of a target smart gas platform and transmitting the data to the target smart gas platform based on the transmission execution data.

Abstract: The embodiments of the present disclosure provide a method for planning a garbage cleaning route in a smart city and an Internet of Things (IoT) system. The method is implemented by the Internet of Things system for planning a garbage cleaning route in a smart city. The IoT system includes a user platform, a service platform, a management platform, a sensor network platform and an object platform. The method is performed by the management platform. The method includes obtaining monitoring information on at least one road in a road network area, and recognizing a garbage accumulation situation on the at least one road; determining at least one target garbage cleaning point based on the garbage accumulation situation; and determining a garbage cleaning route based on the at least one target garbage cleaning point.

Abstract: A method, system, and medium for gas monitoring and assessment based on Internet of Things. The method is executed by a processor in a smart gas safety management platform of a system for gas monitoring and assessment based on Internet of Things. The method includes: obtaining industrial gas data of a workshop to be monitored based on a smart gas indoor device object platform and uploading the industrial gas data to a smart gas data center through a smart gas indoor device sensor network platform; obtaining regional data of the workshop to be monitored based on a smart gas service platform and uploading the regional data to the smart gas data center through the smart gas indoor device sensor network platform; determining a key sub-region based on the regional data and the industrial gas data.

Abstract: Provided are a method, an Internet of Things (IoT) system, and a storage medium for safety monitoring of a smart gas auxiliary component. The method includes: determining a first anomaly value of an auxiliary component based on operation data of the auxiliary component; determining a target acquisition parameter based on the first anomaly value; determining an acquisition instruction based on the target acquisition parameter, and sending the acquisition instruction to at least one of an interactive device of a staff member or a drone to control an infrared detection device to acquire infrared data of the auxiliary component according to the target acquisition parameter; determining a second anomaly value of the auxiliary component based on the infrared data, environmental data, and the first anomaly value; and determining and sending at least one of a maintenance instruction or a parameter adjustment instruction to a monitoring component and the interactive device.

Abstract: Method for gas supply deployment of smart gas pipeline network and an IoT system thereof are provided, the method including: obtaining historical gas consumption data in the target region; determining target demand information of the target region at a future time point; predicting a target difference amplitude of a gas supply and demand difference at the future time point in the target region; for the target region where the target difference amplitude meets a first preset condition, determining, based on gas statistical data, the target difference amplitude, and environmental data of the target region, a reason for supply and demand difference corresponding to the target region; determining, based on the target difference amplitude and the reason for supply and demand difference, a gas supply adjustment parameter, generating a gas supply adjustment instruction; and in response to remaining storage space meeting a second preset condition, generating a distribution instruction.

Abstract: The present disclosure discloses a control method of industrial Internet of Things (IoT) based on abnormal identification. The IoT includes: an obtaining unit, which is configured to obtain a first machining parameter; a detection unit, which is configured to obtain real-time image data when the first machining parameter is abnormal; an extraction unit, which is configured to obtain a keyframe and obtain a second machining parameter; a judgment unit, which is configured to determine an abnormal cause based on the first machining parameter and the second machining parameter; and a communication unit, which is configured to transmit the abnormal cause to a user terminal through a service platform.

Abstract: The present disclosure provides a method and a system for parameter adjustment of gas facilities in a comprehensive pipeline gallery based on IoT, the method includes: obtaining first monitoring data of a gas cabin and second monitoring data of other cabins from at least one monitoring position combination; determining a joint risk of the one or more first monitoring positions based on the first monitoring data and the second monitoring data; determining a maintenance parameter and/or adjusting at least one monitoring parameter based on the joint risk; generating at least one adjustment instruction based on adjustment amount of the monitoring parameter, determining an adjustment priority of the at least one monitoring parameter based on a data uploading intensity of the gas cabin, sending the at least one adjustment instruction to the corresponding one or more first monitoring positions based on the adjustment priority sequentially.

Abstract: Embodiments of the present disclosure provide a method, an Internet of Things (IoT) system, and a medium for pipeline repair based on smart gas. The method is executed based on a government supervision and management platform of the IoT system for pipeline repair based on smart gas. The method includes: obtaining pipeline repair equipment information and pipeline data to be repaired; determining a pipeline repair sequence based on the pipeline repair equipment information and the pipeline data to be repaired; based on the repair commands, performing at least one of the following operations: receiving feedback information; determining an updated collection frequency for a pressure regulating equipment and a gas metering device deployed on a target gas pipeline based on the feedback information; and generating a repair update command based on the pipeline data to be repaired, a pressure regulating parameter, a gas supply parameter, and a monitoring data.

Abstract: The present disclosure provides a method and an Internet of Things (IoT) system for assessing a loss of a maintenance medium of a smart gas pipeline network. The method comprises: determining a degree of a maintenance impact based on maintenance data; determining a target supply for a maintenance pipeline branch in a target time period based on the degree of the maintenance impact and historical supply data; determining a target demand for the maintenance pipeline branch in the target time period based on historical usage data; determining a target loss in the target time period based on the target supply and the target demand; and determining a replenishment parameter based on the target loss.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a purification parameter of gas in a storage and distribution station. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by a processor of the smart gas device management platform. The method includes: predicting at least one group of recommended operation parameters and at least one effect score corresponding to the at least one group of recommended operation parameters through a recommended operation parameter prediction model; determining an operation parameter in a purification process; and generating a remote control instruction and sending the remote control instruction to the smart gas object platform for performing a purification operation of the raw gas.

Abstract: Disclosed is a method and an IoT system for maintaining a smart gas filling station based on safety supervision. The method comprises: obtaining historical gas filling data; determining, based on the historical gas filling data, a predicted usage feature; obtaining historical operation data; determining a historical operation feature based on the historical operation data; determining an operation and maintenance parameter based on the predicted usage feature and the historical operation feature, and generating a maintenance instruction; obtaining a count of reference vehicles; and generating a regulation instruction in response to determining that the count of the reference vehicles is greater than a reference threshold.